The film and television industry is undergoing a transformation as artificial intelligence (AI) technologies streamline scriptwriting, video editing, and the production of micro dramas in mere minutes. Since 2026, the integration of AI in micro dramas, virtual production, and intelligent storyboarding has gained momentum, sparking discussions around the democratization of content creation. While these advancements boost efficiency, they also stir concerns over what constitutes content value when technological barriers to creativity diminish.
This question is central as the micro drama market adjusts to changing dynamics. Initially, the industry thrived on rapid plot twists, emotive storytelling, and marketing driven by viewer traffic. However, as audiences grow weary and content becomes more uniform, platforms are shifting their focus. Now, the emphasis is on viewer retention, emotional depth, character engagement, and production quality rather than sheer viewership numbers. The sector is moving from unrestrained growth to a phase of sophisticated competition.
In this evolving landscape, a new wave of producers with diverse skill sets is gaining prominence. Their responsibilities now extend beyond traditional resource management and production coordination to include audience analysis, narrative development, data interpretation, and streamlined workflow management. Liu Yixian exemplifies this trend, redefining producer roles in the micro drama arena.
Liu’s recent projects illustrate the changing producer function within the industry. Moving away from traffic-centric narratives, he has championed “emotional operation” and meticulous content management. By integrating audience profiling, process oversight, and data assessment into production, his approach addresses the demand for authenticity. His work, such as “The Breakfast Beauty Wants a Divorce,” skillfully intertwines themes of marriage, female empowerment, and urban life, garnering over 260 million views. Similarly, “The Puzzling Noble Groom” focuses on psychological intensity and character evolution, achieving 68 million views. Viewers are increasingly drawn to genuine characters and authentic emotions, rejecting formulaic plotlines.
The concept of industrialization in the sector has shifted from merely reducing time and costs to encompassing systematic content management. With AI standardizing basic production and cutting expenses, the challenge lies in capturing real emotions, human connections, and social nuances—elements that AI cannot replicate. Liu suggests the industry might bifurcate: AI will mass-produce affordable, standardized content, while works rich in emotional and cultural significance will become rare. The debate is not about AI replacing creators but about determining which content remains unique. For producers like Liu, the enduring appeal lies in the deep understanding of human emotions and societal observation—qualities beyond the reach of technology.